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Model: Ellbendls/llama-3.2-3b-chat-doctor Source: Original Platform
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README.md
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README.md
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---
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library_name: transformers
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tags:
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- medical-qa
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- healthcare
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- llama
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- fine-tuned
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license: llama3.2
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datasets:
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- ruslanmv/ai-medical-chatbot
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---
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# Model Card: Llama-3.2-3B-Chat-Doctor
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## Model Details
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### Model Description
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Llama-3.2-3B-Chat-Doctor is a specialized medical question-answering model based on the Llama 3.2 3B architecture. This model has been fine-tuned specifically for providing accurate and helpful responses to medical-related queries.
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- **Developed by:** Ellbendl Satria
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- **Model type:** Language Model (Conversational AI)
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- **Language:** English
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- **Base Model:** Meta Llama-3.2-3B-Instruct
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- **Model Size:** 3 Billion Parameters
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- **Specialization:** Medical Question Answering
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- **License:** llama3.2
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### Model Capabilities
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- Provides informative responses to medical questions
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- Assists in understanding medical terminology and health-related concepts
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- Offers preliminary medical information (not a substitute for professional medical advice)
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### Direct Use
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This model can be used for:
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- Providing general medical information
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- Explaining medical conditions and symptoms
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- Offering basic health-related guidance
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- Supporting medical education and patient communication
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### Limitations and Important Disclaimers
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⚠️ **CRITICAL WARNINGS:**
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- **NOT A MEDICAL PROFESSIONAL:** This model is NOT a substitute for professional medical advice, diagnosis, or treatment.
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- Always consult a qualified healthcare provider for medical concerns.
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- The model's responses should be treated as informational only and not as medical recommendations.
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### Out-of-Scope Use
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The model SHOULD NOT be used for:
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- Providing emergency medical advice
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- Diagnosing specific medical conditions
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- Replacing professional medical consultation
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- Making critical healthcare decisions
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## Bias, Risks, and Limitations
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### Potential Biases
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- May reflect biases present in the training data
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- Responses might not account for individual patient variations
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- Limited by the comprehensiveness of the training dataset
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### Technical Limitations
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- Accuracy is limited to the knowledge in the training data
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- May not capture the most recent medical research or developments
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- Cannot perform physical examinations or medical tests
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### Recommendations
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- Always verify medical information with professional healthcare providers
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- Use the model as a supplementary information source
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- Be aware of potential inaccuracies or incomplete information
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## Training Details
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### Training Data
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- **Source Dataset:** [ruslanmv/ai-medical-chatbot](https://huggingface.co/datasets/ruslanmv/ai-medical-chatbot)
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- **Base Model:** [Meta Llama-3.2-3B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct)
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### Training Procedure
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[Provide details about the fine-tuning process, if available]
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- Fine-tuning approach
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- Computational resources used
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- Training duration
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- Specific techniques applied during fine-tuning
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## How to Use the Model
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### Hugging Face Transformers
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model_name = "Ellbendls/llama-3.2-3b-chat-doctor"
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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model = AutoModelForCausalLM.from_pretrained(model_name)
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# Example usage
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input_text = "I had a surgery which ended up with some failures. What can I do to fix it?"
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# Prepare inputs with explicit padding and attention mask
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inputs = tokenizer(input_text, return_tensors="pt", padding=True, truncation=True)
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# Generate response with more explicit parameters
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outputs = model.generate(
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input_ids=inputs['input_ids'],
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attention_mask=inputs['attention_mask'],
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max_new_tokens=150, # Specify max new tokens to generate
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do_sample=True, # Enable sampling for more diverse responses
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temperature=0.7, # Control randomness of output
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top_p=0.9, # Nucleus sampling to maintain quality
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num_return_sequences=1 # Number of generated sequences
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)
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# Decode the generated response
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response = tokenizer.decode(outputs[0], skip_special_tokens=True)
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print(response)
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```
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### Ethical Considerations
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This model is developed with the intent to provide helpful, accurate, and responsible medical information. Users are encouraged to:
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- Use the model responsibly
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- Understand its limitations
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- Seek professional medical advice for serious health concerns
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adapter_config.json
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||||
2083
tokenizer_config.json
Normal file
2083
tokenizer_config.json
Normal file
File diff suppressed because it is too large
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